Arik, Sercan

9 publications

NeurIPSW 2023 IngesTables: Scalable and Efficient Training of LLM-Enabled Tabular Foundation Models Scott Yak, Yihe Dong, Javier Gonzalvo, Sercan Arik

NeurIPS 2022 Self-Supervised Learning with an Information Maximization Criterion Serdar Ozsoy, Shadi Hamdan, Sercan Arik, Deniz Yuret, Alper Erdogan

NeurIPS 2021 Controlling Neural Networks with Rule Representations Sungyong Seo, Sercan Arik, Jinsung Yoon, Xiang Zhang, Kihyuk Sohn, Tomas Pfister

ICML 2020 Data Valuation Using Reinforcement Learning Jinsung Yoon, Sercan Arik, Tomas Pfister

ICLR 2020 Distance-Based Learning from Errors for Confidence Calibration Chen Xing, Sercan Arik, Zizhao Zhang, Tomas Pfister

NeurIPS 2020 Interpretable Sequence Learning for Covid-19 Forecasting Sercan Arik, Chun-Liang Li, Jinsung Yoon, Rajarishi Sinha, Arkady Epshteyn, Long Le, Vikas Menon, Shashank Singh, Leyou Zhang, Martin Nikoltchev, Yash Sonthalia, Hootan Nakhost, Elli Kanal, Tomas Pfister

NeurIPS 2020 On Completeness-Aware Concept-Based Explanations in Deep Neural Networks Chih-Kuan Yeh, Been Kim, Sercan Arik, Chun-Liang Li, Tomas Pfister, Pradeep K. Ravikumar

NeurIPS 2018 Neural Voice Cloning with a Few Samples Sercan Arik, Jitong Chen, Kainan Peng, Wei Ping, Yanqi Zhou

NeurIPS 2017 Deep Voice 2: Multi-Speaker Neural Text-to-Speech Andrew Gibiansky, Sercan Arik, Gregory Diamos, John Miller, Kainan Peng, Wei Ping, Jonathan Raiman, Yanqi Zhou